Page 1 of 17
Data format: Raster Dataset - ESRI GRID
File or table name: Establishment
Coordinate system: Albers Conical Equal Area
Theme keywords: Forest Pathogen, Exotic, Sirex Woodwasp, Sirex noctilio, Establishment
Abstract: The Establishment Potential Surface for Sirex noctilio was produced for the conterminous United States in 1 square kilometer (km²) units by the U.S. Forest Service, Forest Health Technology Enterprise Team’s (FHTET)
Invasive Species Steering Committee.
• Identification Information
• Data Quality Information
• Spatial Data Organization Information
• Spatial Reference Information
• Entity and Attribute Information
• Distribution Information
• Metadata Reference Information
Metadata elements shown with blue text are defined in the Federal Geographic Data Committee's (FGDC) Content Standard for
Digital Geospatial Metadata (CSDGM) . Elements shown with green text are defined in the ESRI Profile of the CSDGM.
Elements shown with a green asterisk ( * ) will be automatically updated by ArcCatalog. ArcCatalog adds hints indicating which FGDC elements are mandatory; these are shown with gray text.
Citation:
Citation information:
Originators: Forest Health Technology Team (FHTET) USDA Forest Service
Title:
Establishment Potential Surface for Sirex noctilio
*File or table name: establishment
Tool name: Sirex_newyork
Publication date: 5-9-2006
* Geospatial data presentation form: raster digital data
Series information:

Page 2 of 17
Series name: Version 2.0
Issue identification: 5-9-2006
Publication information:
Publication place: Fort Collins, Colorado
Publisher: Marla C. Downing
Online linkage: http://www.fs.fed.us/foresthealth/technology/invasives_sirexnoctilio_riskmaps.shtml
Larger work citation:
Citation information:
Originators: Forest Health Technology Enterprise Team (FHTET) USDA Forest Service
Title:
Establishment Potential Surface for Sirex noctilio
Publication date: 5-9-2006
Edition: 2.0
Geospatial data presentation form: map
Online linkage: http://www.fs.fed.us/foresthealth/technology/products.shtml
Description:
Abstract:
The Establishment Potential Surface for Sirex noctilio was produced for the conterminous
United States in 1 square kilometer (km²) units by the U.S. Forest Service (USFS),
Forest Health Technology Enterprise Team’s (FHTET) Invasive Species Steering Committee; a multidisciplinary team with participation from USFS and the USDA Animal and Plant Health
Inspection Service (APHIS).
Purpose:
The product’s intended use in conjunction with the Introduction Potential Surface is to develop a Susceptibility Potential Surface for Sirex noctilio . Four primary datasets with standardized values from 0 to 10 were used as variables in the analysis. Each dataset was multiplied by its arithmetic weight and the resultant values were combined in a weighted overlay. The final Establishment Potential Surface output values also range from 0 to 10; with 10 being the highest potential of establishment.
Supplemental information:
Four primary data sets were used in the construction of the Establishment potential.
These primary data sets were: Total Pine Basal Area, Soil Wetness Dryness Index, Host
Species, and Urban Forest.
1) Total Pine Basal Area . Source: Basal Area (BA) measurements from the US Forest
Service, Forest Inventory and Analysis (FIA) data. North American pine species data from FIA were used. In places where Sirex noctilio is currently present, dense areas are attacked while thinned areas within the same stand are not. Therefore, total BA for host species were used to assign a risk value from 0 - 10 to each 1 square km pixel.
2) Soil Wetness Dryness Index . Source: USDA Forest Service Forest Health Technology
Enterprise Team (FHTET) Fort Collins, Colorado. The Dryness Index (DI) is a measure of the wetness of a soil. The DI is designed to parallel the amount of water that a soil contains and makes available to plants under normal climatic conditions.
Maps were generated by assigning a DI value to the dominate soil series in each of the polygons comprising the State Soil Geographic (STATSGO) database. The DI

Page 3 of 17 values for each soil series were determined from the taxonomic subgroup, textural family, drainage class, and slope class of every soil series (USDA Forest Service
FHTET “ Mapping Risk from Forest Insects and Diseases ” (in press)). These data have values that range from 0 – 100. Where 0 is very dry, 100 is open water, values close to 50 are considered optimal with respect to soil wetness dryness.
3) Host Species . Source: USDA Forest Service, Forest Inventory and Analysis (FIA) data.
4) Urban Forest . Source: Two primary data sets were used in the construction of the
Urban forest: A) A polygon data set from Environmental Systems Research Institute
(ESRI) that depicts Cities in the United States. These City polygons were included as standard spatial data with the shipment of ArcGIS ver 9.1 in the year 2005 and
B) National Land Cover Data (NLCD) from the USDA Natural Resources Conservation
Service (NRCS). Through inspection of the USDA Plant Hardiness map coupled with minimum temperatures where host species can exist from the USDA Plants data base it was concluded that all cities in the Lower 48 States of the US could grow host species in the very high susceptible category (Appendix B). First the City polygons were converted to 1000 meter cells (CITY GRID). Next a subset forest type of the NLCD data (at 30 meter resolution) was extracted. This NLCD forest type was labeled Evergreen Forest (GRID Value 42). The NLCD Evergreen Forest type was resampled to 1000 meter cell resolution; however, the percent of cells of 30 meter
NLCD Evergreen Forest that made up the entire 1000 meter cell was maintained as an attribute (NLCD Evergreen Forest GRID). Finally, the City GRID was overlain with the NLCD Evergreen Forest GRID (where the NLCD Evergreen Forest GRID has 30 percent or more Evergreen forest). These data were combined with the Host Species data using a maximum overlay process. The Urban Forest was considered to be associated with highly susceptible host species.
Data were combined using a weighted overlay process (Basal Area = 40%, Host Species =
40%, and Soil_WDI = 20%).
*Language of dataset: en
Time period of content:
Time period information:
Single date/time:
Calendar date: 5-9-2006
Currentness reference: publication date
Status:
Progress: Planned
Maintenance and update frequency: As needed
Spatial domain:
Bounding coordinates:
* West bounding coordinate: -128.011472
* East bounding coordinate: -51.920726
* North bounding coordinate: 51.656290
* South bounding coordinate: 17.299188
Local bounding coordinates:
*Left bounding coordinate: -2364065.750000
*Right bounding coordinate: 3376934.254584
*Top bounding coordinate: 3178151.331894
*Bottom bounding coordinate: -56848.670690
Keywords:

Page 4 of 17
Theme:
Theme keywords: Forest Pathogen, Exotic, Sirex Woodwasp, Sirex noctilio, Establishment
Place:
Place keywords: Conterminous United States
Place keyword thesaurus: Lower 48 States
Access constraints: None
Use constraints:
None
Point of contact:
Contact information:
Contact organization primary:
Contact person: Marla C. Downing
Contact organization: Forest Health Technology Enterprise Team (FHTET) Forest Health Protection
Contact position: FHTET Lead, Biological Scientist
Contact address:
Address type: mailing and physical address
Address:
2150 Centre Avenue, Bldg A, Suite 331
City: Fort Collins
State or province: Colorado
Postal code: 80526-1891
Country: USA
Contact voice telephone: 970-295-5843
Contact electronic mail address: mdowning@fs.fed.us
Hours of service: 9:00 AM - 5:00 PM MT
Browse graphic:
Browse graphic file name: EstablishmentSummary.pdf
Browse graphic file description:
Portable Document Format (PDF)
Browse graphic file type: PDF
Data set credit:
Michael F. Tuffly, ERIA Consultants, LLC
Steering Committee:
Marla C. Downing, FHTET Lead
Daniel M. Borchert, APHIS PPQ
Donald A. Duerr, USFS R8
Dennis A. Haugen, USFS NA
Frank H. Koch, USFS SRS
Frank J. Krist Jr., USFS FHTET
Frank J. Sapio, USFS FHTET
Bill D. Smith, USFS SRS
Borys M. Tkacz, USFS FHP
Security information:
Security classification: Unclassified

Page 5 of 17
*Native dataset format: Raster Dataset
* Native data set environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722
Cross reference:
Citation information:
Originators: Forest Health Technology Enterprise Team (FHTET) USDA Forest Service
Title:
Establishment Potential Surface for Sirex noctilio
Publication date: 5-9-2006
Edition: 2.0
Geospatial data presentation form: map
Tool name: Sirex_newyork
Online linkage: http://www.fs.fed.us/foresthealth/technology/products.shtml
Back to Top
Attribute accuracy:
Attribute accuracy report:
One kilometer
Lineage:
Process step:
Process description:
Summary of Establishment Potential for Sirex noctilio : May 9, 2006
Website URL: http://www.fs.fed.us/foresthealth/technology/products.shtml
The Establishment Potential Surface for Sirex noctilio was produced for the conterminous
United States in 1 square kilometer (km²) units by the U.S. Forest Service, Forest Health
Technology Enterprise Team’s (FHTET) Invasive Species Steering Committee. The product’s intended use in conjunction with the Introduction Potential Surface is to develop a
Susceptibility Potential Surface for Sirex noctilio . Four primary datasets with standardized values from 0 to 10 were used as variables in the analysis. Each dataset was multiplied by its arithmetic weight (Table 3) and the resultant values were combined in a weighted overlay (Eastman 1999). The final Establishment Potential Surface output values also range from 0 to 10; with 10 being the highest potential of establishment.
Four Primary Data sets were used in the construction of the Establishment Potential
Surface. These primary data sets were: Total Pine Basal Area, Soil Wetness Dryness
Index, Host Species, and Urban Forest.
Reference

Page 6 of 17
Eastman, J.R. 1999. IDRISI 32: Guide to GIS and Image Processing Volume 2. Software
Manual. Worcester, MA: Clark Labs, Clark University.
1) Total Pine Basal Area . Source: Basal Area (BA) measurements from the US Forest
Service, Forest Inventory and Analysis (FIA) data. Units are in square feet of tree basal area per acre. All North American pine species data from FIA were used to create this data set (measurement years and cycles by location can be found in
Appendix A). The "Total Pine Basal Area" data set is host species total basal area.
In countries where Sirex noctilio is present, it has been seen that dense areas within a stand have been attacked and thinned areas within the same stand have not been attacked. Therefore, total basal area was used to assign a potential of attack value to each 1 kilometer pixel as shown in Table 1.
2) Soil Wetness Dryness Index (SOIL_WDI) . Source: USDA Forest Service Forest Health
Technology Enterprise Team (FHTET) Fort Collins, Colorado. The Dryness Index (DI) is a measure of the wetness of a soil. The DI is designed to parallel the amount of water that a soil contains and makes available to plants under normal climatic conditions. Maps were generated by assigning a DI value to the dominate soil series in each of the polygons comprising the State Soil Geographic (STATSGO) database.
The DI values for each soil series were determined from the taxonomic subgroup, textural family, drainage class, and slope class of every soil series (USDA Forest
Service FHTET “ Mapping Risk from Forest Insects and Diseases ” (in press)). These data have values that range from 0 – 100. Where 0 is very dry, 100 is open water, values close to 50 are considered optimal with respect to soil wetness dryness.
These data were reclassed into 10 classes using Table 2.
3) Host Species . Source: USDA Forest Service, Forest Inventory and Analysis (FIA) data.
See Appendix B for a list of the host species and their potential to establishment.
4) Urban Forest . Source: Two primary data sets were used in the construction of the
Urban forest: A) A polygon data set from Environmental Systems Research Institute
(ESRI) that depicts Cities in the United States. These City polygons were included as standard spatial data with the shipment of ArcGIS ver 9.1 in the year 2005 and B)
National Land Cover Data (NLCD) from the USDA Natural Resources Conservation Service
(NRCS). Through inspection of the USDA Plant Hardiness map coupled with minimum temperatures where host species can exist from the USDA Plants data base it was concluded that all cities in the Lower 48 States of the US could grow host species in the very high susceptible category (Appendix B). First the City polygons were converted to 1000 meter cells (CITY GRID). Next a subset forest type of the NLCD data (at 30 meter resolution) was extracted. This NLCD forest type was labeled
Evergreen Forest (GRID Value 42). The NLCD Evergreen Forest type was resampled to
1000 meter cell resolution; however, the percent of cells of 30 meter NLCD Evergreen
Forest that made up the entire 1000 meter cell was maintained as an attribute (NLCD
Evergreen Forest GRID). Finally, the City GRID was overlain with the NLCD Evergreen
Forest GRID (where the NLCD Evergreen Forest GRID has 30 percent or more Evergreen forest). An additional data set depicting only Monterey Pine Forest for California
(South of San Francisco county and North of Monterey County approximately 100 miles inland from the coast) were included in this Urban Forest Data set. These Monterey
Pine Forest are from the USDA Forest Service Remote Sensing lab in Sacramento,
California. These data were combined with the Host Species data using a maximum overlay process. The Urban Forest was considered to be comprised of highly susceptible host species.
All 4 data sets were combined into a weighted overlay with weight values found in Table
3.
Basal Area (Square Feet of Basal Area per Acre) Rating

Page 7 of 17
GT or EQ to 1 and LT 5 1
GT or EQ to 5 and LT 16 2
GT or EQ to 16 and LT 29 3
GT or EQ to 29 and LT 44 4
GT or EQ to 44 and LT 62 5
GT or EQ to 62 and LT 82 6
GT or EQ to 82 and LT 106 7
GT or EQ to 106 and LT 136 8
GT or EQ to 136 and LT 181 9
GT 181 10
Soil Wetness Dryness Value Value
10
9
11 8
16 7
21 6
26 5
31 4
36 3
41 2
46 1
51 2
56 3
61 4
66 5
71 6
76 7
81 8
86 9
91 10
96 – 100 0
* Host 40%
* Urban Forest was combined into the Host Species data set. The combination process was a maximum overlay. Urban Forest is considered to contain the highest susceptible host species for Sirex noctilio . Therefore, the maximum overlay process accounts for the highest susceptible species in the event of a spatial coincidence with the FIA host species data and urban forest data.
With four primary data sets the pixel values were standardized using a scale from 0 – 10 and combined into the final "Establishment Potential Surface." This is accomplished by multiplying the pixel value of each dataset by an arithmetic weight assigned to the dataset then summing the results (Eastman 1999). The arithmetic weights assigned to each dataset are as follows: Basal Area = 40%, Host Species = 40% and Soil Wetness Dryness
Index = 20%. Note that the sum of the weights equals 100 percent. Therefore, the final output for the Establishment Potential Surface ranges from 0 - 10 where 0 has low establishment potential and 10 has the highest establishment potential.

Page 8 of 17
California
California
California
California
California
California
California
California
California
California
California
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Connecticut
Connecticut
Delaware
Florida
Georgia
Idaho
Idaho
Idaho
Idaho
Appendix A FIA Measurement Year
State
Alabama
Source Measyear FIA Cycle
FIA Plots 1997 7
Alabama
Alabama
Alabama
Alabama
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1998
1999
2000
2001
7
7
7
7
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1984
1985
1990
1991
1995
1996
1997
1998
2
2
2
2
2
2
2
2
Arizona
Arizona
Arizona
Arkansas
Arkansas
Arkansas
Arkansas
California
California
California
California
California
California
California
California
California
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1999
2000
2001
1900
1994
1995
1996
1991
2
2
2
1
1
1
1
3
Notes
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1992 3
1993 3
1994 3
1997 3
FIA Plots 1998 3
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
Region 5, Pacific Southwest Region Plots
FIA Plots 1979 1
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1981
1982
1983
1984
1
1
1
1
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1993
1997
2001
2002
2003
1997
1998
1999
1900
1900
1981
1990
1991
1992
1
1
1
2
2
4
4
4
2
7
1
1
1
1
NF Lands Only
NF Lands Only
NF Lands Only
1980 N/A
1984 N/A
1993 N/A
1994 N/A
1995 N/A
1996 N/A
1997 N/A
1998 N/A
1999 N/A
2000 N/A
1993 N/A
1995 N/A
1996 N/A
1997 N/A

Page 9 of 17
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Idaho
Illinois
Illinois
Illinois
Illinois
Illinois
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Iowa
Iowa
Iowa
Iowa
Iowa
Kansas
Kansas
Kansas
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Maine
Maine
Maine
Maine
Maine
Maryland
Maryland
Massachusetts
Massachusetts
Michigan
Michigan
Michigan
Michigan
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Mississippi
Mississippi
2001 4
2002 4
2003 4
2000 3
2001 3
2002 3
2003 3
2004 3
1999 5
2000 5
2001 5
2002 5
2003 5
1999 5
2000 5
1997 4
1998 4
2000 6
2001 6
2002 6
2003 6
1982 5
1984 5
1986 5
1987 5
1988 5
1989 5
1990 5
1991 5
1900 1
1992 1
1993 1
1994 1
1995 1
1996 1
1997 1
1998 1
1999 1
2000 1
2001 1
2002 1
2004 1
No Year Listed 4
1987 4
1996 4
1997 4
1998 4
1998 5
1999 5
2000 5
2001 5
2002 5
2003 5
1999 4
2000 4
2001 4
2002 4
2003 4
1992 4
1993 4
1994 4
1999 4
2000 4
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots

Page 10 of 17
Mississippi
Mississippi
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Montana
Nebraska
Nebraska
Nebraska
Nebraska
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
Nevada
New Hampshire
New Hampshire
New Jersey
New Jersey
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New Mexico
New York
New York
New York
New York
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Dakota
North Dakota
Ohio
Ohio
Ohio
Oklahoma
Oklahoma
1997 1
1996 5
1997 5
1998 4
1999 4
1986 2
1987 2
1993 2
1994 2
1996 2
1997 2
1998 2
1999 2
2000 2
2001 2
1991 4
1992 4
1993 4
1994 4
1998 3
1999 3
2000 3
2001 3
2002 3
1992 3
1994 3
1990 4
1991 4
1992 4
1900 1
1988 1
1993 1
1994 1
1998 5
1999 5
2000 5
2001 5
2002 5
2003 5
1988 1
1989 1
1990 1
1993 1
1994 1
1995 1
1996 1
1997 1
1998 1
1999 1
2000 1
2001 1
2001 4
2002 4
2003 4
2004 4
1978 1
1979 1
1980 1
1981 1
1982 1
1994 1
1995 1
1996 1
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots

Page 11 of 17
Oklahoma
Oklahoma
Oklahoma
Oregon
Oregon
Oregon
Oregon
Oregon
Oregon
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1989
1990
1992
1995
1996
1997
1998
1
1
1
4
4
4
4
Oregon Region 6, Pacific Northwest Region Plots
No Year Listed 4
1999 4
Oregon Bureau of Land Management Western Oregon Plots 1997 N/A
1993 N/A
Utah
Utah
Utah
Vermont
Vermont
Vermont
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Washington
Washington
Washington
Washington
Washington
Washington
Washington
Washington
Oregon Region 6, Pacific Northwest Region Plots
Oregon Region 6, Pacific Northwest Region Plots
Oregon Region 6, Pacific Northwest Region Plots
Oregon Region 6, Pacific Northwest Region Plots
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
FIA Plots
FIA Plots
FIA Plots
FIA Plots
2000
2001
2002
2003
5
5
5
5
Rhode Island
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Dakota
South Dakota
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1998
1998
1999
2000
2001
2002
4
3
3
3
3
3
No Year Listed 4
1900 4
1994 N/A
1995 N/A
1996 N/A
1997 N/A
South Dakota
South Dakota
South Dakota
South Dakota
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Texas
Texas
Texas
Utah
Utah
Utah
Utah
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1994
1995
1996
1999
1900
1996
1997
1998
1999
2001
2002
2003
1988
1991
1992
1993
4
4
4
4
6
6
6
6
6
3
3
3
1
1
1
1
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
1994
1995
1996
1996
1997
1998
1997
1998
1999
2000
2001
2002
1988
1989
1990
1991
1
1
1
5
5
5
3
3
3
3
3
3
3
3
3
3
FIA Plots 1998 3
Region 6, Pacific Northwest Region Plots
Region 6, Pacific Northwest Region Plots
Region 6, Pacific Northwest Region Plots
1993
1994
1995
N/A
N/A
N/A

Page 12 of 17
Washington
Washington
Region 6, Pacific Northwest Region Plots
Region 6, Pacific Northwest Region Plots
West Virginia FIA Plots 1999 5
West Virginia
West Virginia
West Virginia
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
FIA Plots
Wyoming
Wyoming
Wyoming
Wyoming
FIA Plots
FIA Plots
FIA Plots
FIA Plots
Wyoming
Wyoming
Appendix B: Host Species
FIA Plots
FIA Plots
2000 5
2001 5
2002 5
1999 6
2000 6
2001 6
2002 6
2003 6
1998 2
1999 2
2000 2
2001 2
2002 2
2004 2
1996 N/A
1997 N/A pine Pinus radiata pine Pinus sylvestris High pine Pinus taeda pine Pinus nigra
105 jack Pinus banksiana High
108 lodgepole Pinus contorta High
110 shortleaf Pinus echinata High pine Pinus elliottii High pine Pinus jeffreyi High
122 ponderosa Pinus ponderosa High
125 red Pinus resinosa High pine Pinus virginiana High pine Pinus attenuata Medium
107 sand Pinus clausa Medium pine Pinus engelmannii Medium
123 pine Pinus glabra Medium pine Pinus muricata Medium pine Pinus palustris Medium
Table Mountain pine Pinus pungens Medium pine Pinus rigida Medium
128 pond Pinus serotina Medium pine Pinus arizonica Medium pine Pinus washoensis Medium
101 whitebark Pinus albicaulis Low
102 bristlecone pine pine
Pinus aristata Low
Pinus balfouriana Low pinyon Pinus edulis Low
114 pine Pinus coulteri Low pine Pinus flexilis Low southwestern white pine pine
Pinus strobiformus
Pinus lambertiana
Low
Low
118 Chihuahua Pinus leiophylla var. chihuahuana Low
119 western white pine Pinus monticola Low
127 gray Pinus sabiniana Low
129 eastern white pine Pinus strobus Low
133 singleleaf Pinus monophylla Low pinyon Pinus discolor Low pinyon Pinus quadrifolia Low
140
142 pine Pinus torreyana Low
Mexican pinyon pine Pinus cembroides Low
Great Basin bristlecone pine Pinus longaeva Low

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143 Arizona pinyon pine Pinus monophylla var. fallax Low
Note: Introduction Potential Surface and the Establishment Potential Surface =
Susceptibility Potential Surface
Reference
Eastman, J.R. 1999. IDRISI 32: Guide to GIS and Image Processing Volume 2. Software
Manual. Worcester, MA: Clark Labs, Clark University.
Process software and version: ArcGIS ver 9.1, Spatial Analyst and Model Builder
Process date: 4-28-2006
Tool name: Sirex_newyork
Process contact:
Contact information:
Contact organization primary:
Contact person: Marla C. Downing
Contact organization: Forest Health Technology Enterprise Team (FHTET) USDA Forest Service
Contact position: FHTET Lead, Biological Scientist
Contact address:
Address type: mailing and physical address
Address:
2150 Centre Avenue, Bldg A, Suite 331
City: Fort Collins
State or province: Colorado
Postal code: 80526-1891
Country: USA
Contact voice telephone: 970-295-5843
Contact electronic mail address: mdowning@fs.fed.us
Hours of service: 9:00 AM - 5:00 PM MT
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* Direct spatial reference method: Raster
Raster object information:
*Image format: ESRI GRID
*Number of bands: 1

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* Row count: 3235
* Column count: 5741
* Vertical count: 1
Cell size X direction: 1000
Cell size Y direction: 1000
*Bits per pixel: 8
*Pyramid layers: FALSE
*Image colormap: FALSE
*Compression type: Default
* Raster object type: Grid Cell
*Raster display type: matrix values
*Raster origin: Upper Left
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Horizontal coordinate system definition:
Coordinate system name:
*Projected coordinate system name: NAD_1983_Albers
*Geographic coordinate system name: GCS_North_American_1983
Planar:
Map projection:
* Map projection name: Albers Conical Equal Area
Albers conical equal area:
* Standard parallel: 29.500000
* Standard parallel: 45.500000
* Longitude of central meridian: -96.000000
* Latitude of projection origin: 23.000000
* False easting: 0.000000
* False northing: 0.000000
Planar coordinate information:
* Planar coordinate encoding method: row and column
Coordinate representation:
* Abscissa resolution: 1000
* Ordinate resolution: 1000
* Planar distance units: meters
Geodetic model:
* Horizontal datum name: North American Datum of 1983
* Ellipsoid name: Geodetic Reference System 80
* Semi-major axis: 6378137.000000
* Denominator of flattening ratio: 298.257222
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Detailed description:
*Name: establishment
Entity type:
* Entity type label: establishment
*Entity type type: Table
*Entity type count: 10
Entity type definition:
Establishment Potential Surface for Sirex noctilio
Attribute:
* Attribute label: ObjectID
*Attribute alias: ObjectID
* Attribute definition:
Internal feature number.
* Attribute definition source:
ESRI
*Attribute type: OID
*Attribute width: 4
*Attribute precision: 0
*Attribute scale: 0
Attribute domain values:
* Unrepresentable domain:
Sequential unique whole numbers that are automatically generated.
Attribute measurement frequency:
Unknown
Attribute:
* Attribute label: Value
*Attribute alias: Value
Attribute definition:
Integer Value from 0 - 10 where 0 equals low potential for establishment and 10 equals extremely high potential for establishment.
*Attribute type: Integer
*Attribute width: 0
*Attribute precision: 0
*Attribute scale: 0
Attribute value accuracy information:
Attribute value accuracy: As Reported
Attribute measurement frequency:
As needed
Attribute:
* Attribute label: Count
*Attribute alias: Count
Attribute definition:
The frequency of 1000 by 1000 meter GRID cells

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Attribute definition source:
ESRI
*Attribute type: Double
*Attribute width: 0
*Attribute precision: 0
*Attribute scale: 0
Attribute measurement frequency:
As needed
Overview description:
Dataset overview:
The Establishment Potential Surface for Sirex noctilio was produced for the conterminous
United States in 1 square kilometer (km²) units by the U.S. Forest Service, Forest Health
Technology Enterprise Team’s (FHTET) Invasive Species Steering Committee. The product’s intended use in conjunction with the Introduction Potential Surface is to develop a
Susceptibility Potential Surface for Sirex noctilio . Four primary datasets with standardized values from 0 to 10 were used as variables in the analysis. Each dataset was multiplied by its arithmetic weight and the resultant values were combined in a weighted overlay (Eastman 1999). The final Establishment Potential Surface output values also range from 0 to 10; with 10 being the highest potential of establishment.
Reference
Eastman, J.R. 1999. IDRISI 32: Guide to GIS and Image Processing Volume 2. Software
Manual. Worcester, MA: Clark Labs, Clark University.
Total Pine Basal Area. Source: Basal Area (BA) measurements from the US Forest Service,
Forest Inventory and Analysis (FIA) data. North American pine species data from FIA were used (See Appendix A for measurement years). In places where Sirex noctilio is currently present, dense areas are attacked while thinned areas within the same stand are not.
Therefore, total BA was used to assign a risk value from 0 – 10 to each 1 km pixel.
Host Species. Source: Species occurrence from the FIA data. Each species will undergo different levels of susceptibility from a Sirex noctilio attack. Susceptibility values were assigned to each species (e.g. very high, high, medium, and low) (Appendix B).
* Urban forest was added to these data as a very high susceptible host.
Soil Wetness Dryness Index (SOIL_WDI). The Dryness Index (DI) values for each soil series were determined from the taxonomic subgroup, textural family, drainage class, and slope class of every soil series (USDA Forest Service FHTET “ Mapping Risk from Forest Insects and Diseases ” (in press)). These data have values that range from 0 – 100. Where 0 is very dry, 100 is open water, values close to 50 are considered optimal with respect to soil wetness dryness. These data were reclassed into 10 classes using Table 3.
* Urban Forest is the result of the coincidence of urban areas and NLCD Evergreen Forest.
These data were classified as highly susceptible host and combined into the Host Species data set using a maximum overlay process.
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Resource description: Downloadable Data

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Standard order process:
Digital form:
Digital transfer information:
* Transfer size: 2.039
*Dataset size: 2.039
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* Metadata date: 20060509
Metadata review date: 20060509
*Language of metadata: en
Metadata contact:
Contact information:
Contact organization primary:
Contact person: Marla C. Downing
Contact organization: Forest Health Technology Enterprise Team (FHTET) USDA Forest Service
Contact position: FHTET, Lead and Biological Scientist
Contact address:
Address type: mailing and physical address
Address:
2150 Centre Avenue, Bldg A, Suite 331
City: Fort Collins
State or province: Colorado
Postal code: 80526-1891
Country: USA
Contact voice telephone: 970-295-5843
Contact electronic mail address: mdowning@fs.fed.us
Hours of service: 9:00 AM - 5:00 PM MT
* Metadata standard name: FGDC Content Standards for Digital Geospatial Metadata
* Metadata standard version: FGDC-STD-001-1998
* Metadata time convention: local time
Metadata security information:
Metadata security classification: Unclassified
Metadata extensions:
* Online linkage: http://www.esri.com/metadata/esriprof80.html
* Profile name: ESRI Metadata Profile
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